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Your search keyword '"Lawlor, D. A. (Debbie A.)"' showing total 14 results
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14 results on '"Lawlor, D. A. (Debbie A.)"'

1. Exploring the role of genetic confounding in the association between maternal and offspring body mass index:evidence from three birth cohorts

Author

Tom A Bond, T. A. (Tom A.), Karhunen, V. (Ville), Wielscher, M. (Matthias), Auvinen, J. (Juha), Männikkö, M. (Minna), Keinänen-Kiukaanniemi, S. (Sirkka), Gunter, M. J. (Marc J.), Felix, J. F. (Janine F.), Prokopenko, I. (Inga), Yang, J. (Jian), Visscher, P. M. (Peter M.), Evans, D. M. (David M.), Sebert, S. (Sylvain), Lewin, A. (Alex), O’Reilly, P. F. (Paul F.), Lawlor, D. A. (Debbie A.), and Järvelin, M.-R. (Marjo-Riitta)

Subjects
BMI, Offspring, Maternal, ALSPAC, NFBCs, Genetic confounding
Abstract

Background: Maternal pre-pregnancy body mass index (BMI) is positively associated with offspring birth weight (BW) and BMI in childhood and adulthood. Each of these associations could be due to causal intrauterine effects, or confounding (genetic or environmental), or some combination of these. Here we estimate the extent to which the association between maternal BMI and offspring body size is explained by offspring genotype, as a first step towards establishing the importance of genetic confounding. Methods: We examined the associations of maternal pre-pregnancy BMI with offspring BW and BMI at 1, 5, 10 and 15 years, in three European birth cohorts (n ≤11 498). Bivariate Genomic-relatedness-based Restricted Maximum Likelihood implemented in the GCTA software (GCTA-GREML) was used to estimate the extent to which phenotypic covariance was explained by offspring genotype as captured by common imputed single nucleotide polymorphisms (SNPs). We merged individual participant data from all cohorts, enabling calculation of pooled estimates. Results: Phenotypic covariance (equivalent here to Pearson’s correlation coefficient) between maternal BMI and offspring phenotype was 0.15 [95% confidence interval (CI): 0.13, 0.17] for offspring BW, increasing to 0.29 (95% CI: 0.26, 0.31) for offspring 15 year BMI. Covariance explained by offspring genotype was negligible for BW [−0.04 (95% CI: −0.09, 0.01)], but increased to 0.12 (95% CI: 0.04, 0.21) at 15 years, which is equivalent to 43% (95% CI: 15%, 72%) of the phenotypic covariance. Sensitivity analyses using weight, BMI and ponderal index as the offspring phenotype at all ages showed similar results. Conclusions: Offspring genotype explains a substantial fraction of the covariance between maternal BMI and offspring adolescent BMI. This is consistent with a potentially important role for genetic confounding as a driver of the maternal BMI–offspring BMI association.

Published
2020

2. Common variation at 16p11.2 is associated with glycosuria in pregnancy:findings from a genome-wide association study in European women

Author

Lee, M. A. (Matthew A.), McMahon, G. (George), Karhunen, V. (Ville), Wade, K. H. (Kaitlin H.), Corbin, L. J. (Laura J.), Hughes, D. A. (David A.), Smith, G. D. (George Davey), Lawlor, D. A. (Debbie A.), Jarvelin, M.-R. (Marjo-Riitta), and Timpson, N. J. (Nicholas J.)

Subjects
endocrine system, genome-wide association study, glycosuria, endocrine system diseases, offspring, genotype, nutritional and metabolic diseases, type 2 [diabetes mellitus], self-report, alspac study, mothers, single nucleotide polymorphism, genetics, pregnancy
Abstract

Glycosuria is a condition where glucose is detected in urine at higher concentrations than normal (i.e. not detectable). Glycosuria at some point during pregnancy has an estimated prevalence of 50% and is associated with adverse outcomes in both mothers and offspring. Little is currently known about the genetic contribution to this trait or the extent to which it overlaps with other seemingly related traits, e.g. diabetes. We performed a genome-wide association study (GWAS) for self-reported glycosuria in pregnant mothers from the Avon Longitudinal Study of Parents and Children (cases/controls = 1249/5140). We identified two loci, one of which (lead SNP = rs13337037; chromosome 16; odds ratio of glycosuria per effect allele: 1.42; 95% CI: 1.30, 1.56; P = 1.97 × 10⁻¹³) was then validated using an obstetric measure of glycosuria measured in the same cohort (227/6639). We performed a secondary GWAS in the 1986 Northern Finland Birth Cohort (NFBC1986; 747/2991) using midwife-reported glycosuria and offspring genotype as a proxy for maternal genotype. The combined results revealed evidence for a consistent effect on glycosuria at the chromosome 16 locus. In follow-up analyses, we saw little evidence of shared genetic underpinnings with the exception of urinary albumin-to-creatinine ratio (Rg = 0.64; SE = 0.22; P = 0.0042), a biomarker of kidney disease. In conclusion, we identified a genetic association with self-reported glycosuria during pregnancy, with the lead SNP located 15kB upstream of SLC5A2, a target of antidiabetic drugs. The lack of strong genetic correlation with seemingly related traits such as type 2 diabetes suggests different genetic risk factors exist for glycosuria during pregnancy.

Published
2020

3. Epigenome-wide meta-analysis of blood DNA methylation in newborns and children identifies numerous loci related to gestational age

Author

Merid, S. K. (Simon Kebede), Novoloaca, A. (Alexei), Sharp, G. C. (Gemma C.), Kupers, L. K. (Leanne K.), Kho, A. T. (Alvin T.), Roy, R. (Ritu), Gao, L. (Lu), Annesi-Maesano, I. (Isabella), Jain, P. (Pooja), Plusquin, M. (Michelle), Kogevinas, M. (Manolis), Allard, C. (Catherine), Vehmeijer, F. O. (Florianne O.), Kazmi, N. (Nabila), Salas, L. A. (Lucas A.), Rezwan, F. I. (Faisal I.), Zhang, H. (Hongmei), Sebert, S. (Sylvain), Czamara, D. (Darina), Rifas-Shiman, S. L. (Sheryl L.), Melton, P. E. (Phillip E.), Lawlor, D. A. (Debbie A.), Pershagen, G. (Goran), Breton, C. V. (Carrie V.), Huen, K. (Karen), Baiz, N. (Nour), Gagliardi, L. (Luigi), Nawrot, T. S. (Tim S.), Corpeleijn, E. (Eva), Perron, P. (Patrice), Duijts, L. (Liesbeth), Nohr, E. A. (Ellen Aagaard), Bustamante, M. (Mariona), Ewart, S. L. (Susan L.), Karmaus, W. (Wilfried), Zhao, S. (Shanshan), Page, C. M. (Christian M.), Herceg, Z. (Zdenko), Jarvelin, M.-R. (Marjo-Riitta), Lahti, J. (Jari), Baccarelli, A. A. (Andrea A.), Anderson, D. (Denise), Kachroo, P. (Priyadarshini), Relton, C. L. (Caroline L.), Bergstrom, A. (Anna), Eskenazi, B. (Brenda), Soomro, M. H. (Munawar Hussain), Vineis, P. (Paolo), Snieder, H. (Harold), Bouchard, L. (Luigi), Jaddoe, V. W. (Vincent W.), Sorensen, T. I. (Thorkild I. A.), Vrijheid, M. (Martine), Arshad, S. H. (S. Hasan), Holloway, J. W. (John W.), Haberg, S. E. (Siri E.), Magnus, P. (Per), Dwyer, T. (Terence), Binder, E. B. (Elisabeth B.), DeMeo, D. L. (Dawn L.), Vonk, J. M. (Judith M.), Newnham, J. (John), Tantisira, K. G. (Kelan G.), Kull, I. (Inger), Wiemels, J. L. (Joseph L.), Heude, B. (Barbara), Sunyer, J. (Jordi), Nystad, W. (Wenche), Munthe-Kaas, M. C. (Monica C.), Raikkonen, K. (Katri), Oken, E. (Emily), Huang, R.-C. (Rae-Chi), Weiss, S. T. (Scott T.), Anto, J. M. (Josep Maria), Bousquet, J. (Jean), Kumar, A. (Ashish), Soderhall, C. (Cilla), Almqvist, C. (Catarina), Cardenas, A. (Andres), Gruzieva, O. (Olena), Xu, C.-J. (Cheng-Jian), Reese, S. E. (Sarah E.), Kere, J. (Juha), Brodin, P. (Petter), Solomon, O. (Olivia), Wielscher, M. (Matthias), Holland, N. (Nina), Ghantous, A. (Akram), Hivert, M.-F. (Marie-France), Felix, J. F. (Janine F.), Koppelman, G. H. (Gerard H.), London, S. J. (Stephanie J.), Melen, E. (Erik), Merid, S. K. (Simon Kebede), Novoloaca, A. (Alexei), Sharp, G. C. (Gemma C.), Kupers, L. K. (Leanne K.), Kho, A. T. (Alvin T.), Roy, R. (Ritu), Gao, L. (Lu), Annesi-Maesano, I. (Isabella), Jain, P. (Pooja), Plusquin, M. (Michelle), Kogevinas, M. (Manolis), Allard, C. (Catherine), Vehmeijer, F. O. (Florianne O.), Kazmi, N. (Nabila), Salas, L. A. (Lucas A.), Rezwan, F. I. (Faisal I.), Zhang, H. (Hongmei), Sebert, S. (Sylvain), Czamara, D. (Darina), Rifas-Shiman, S. L. (Sheryl L.), Melton, P. E. (Phillip E.), Lawlor, D. A. (Debbie A.), Pershagen, G. (Goran), Breton, C. V. (Carrie V.), Huen, K. (Karen), Baiz, N. (Nour), Gagliardi, L. (Luigi), Nawrot, T. S. (Tim S.), Corpeleijn, E. (Eva), Perron, P. (Patrice), Duijts, L. (Liesbeth), Nohr, E. A. (Ellen Aagaard), Bustamante, M. (Mariona), Ewart, S. L. (Susan L.), Karmaus, W. (Wilfried), Zhao, S. (Shanshan), Page, C. M. (Christian M.), Herceg, Z. (Zdenko), Jarvelin, M.-R. (Marjo-Riitta), Lahti, J. (Jari), Baccarelli, A. A. (Andrea A.), Anderson, D. (Denise), Kachroo, P. (Priyadarshini), Relton, C. L. (Caroline L.), Bergstrom, A. (Anna), Eskenazi, B. (Brenda), Soomro, M. H. (Munawar Hussain), Vineis, P. (Paolo), Snieder, H. (Harold), Bouchard, L. (Luigi), Jaddoe, V. W. (Vincent W.), Sorensen, T. I. (Thorkild I. A.), Vrijheid, M. (Martine), Arshad, S. H. (S. Hasan), Holloway, J. W. (John W.), Haberg, S. E. (Siri E.), Magnus, P. (Per), Dwyer, T. (Terence), Binder, E. B. (Elisabeth B.), DeMeo, D. L. (Dawn L.), Vonk, J. M. (Judith M.), Newnham, J. (John), Tantisira, K. G. (Kelan G.), Kull, I. (Inger), Wiemels, J. L. (Joseph L.), Heude, B. (Barbara), Sunyer, J. (Jordi), Nystad, W. (Wenche), Munthe-Kaas, M. C. (Monica C.), Raikkonen, K. (Katri), Oken, E. (Emily), Huang, R.-C. (Rae-Chi), Weiss, S. T. (Scott T.), Anto, J. M. (Josep Maria), Bousquet, J. (Jean), Kumar, A. (Ashish), Soderhall, C. (Cilla), Almqvist, C. (Catarina), Cardenas, A. (Andres), Gruzieva, O. (Olena), Xu, C.-J. (Cheng-Jian), Reese, S. E. (Sarah E.), Kere, J. (Juha), Brodin, P. (Petter), Solomon, O. (Olivia), Wielscher, M. (Matthias), Holland, N. (Nina), Ghantous, A. (Akram), Hivert, M.-F. (Marie-France), Felix, J. F. (Janine F.), Koppelman, G. H. (Gerard H.), London, S. J. (Stephanie J.), and Melen, E. (Erik)

Abstract

Background: Preterm birth and shorter duration of pregnancy are associated with increased morbidity in neonatal and later life. As the epigenome is known to have an important role during fetal development, we investigated associations between gestational age and blood DNA methylation in children. Methods: We performed meta-analysis of Illumina’s HumanMethylation450-array associations between gestational age and cord blood DNA methylation in 3648 newborns from 17 cohorts without common pregnancy complications, induced delivery or caesarean section. We also explored associations of gestational age with DNA methylation measured at 4–18 years in additional pediatric cohorts. Follow-up analyses of DNA methylation and gene expression correlations were performed in cord blood. DNA methylation profiles were also explored in tissues relevant for gestational age health effects: fetal brain and lung. Results: We identified 8899 CpGs in cord blood that were associated with gestational age (range 27–42 weeks), at Bonferroni significance, P < 1.06 × 10⁻⁷, of which 3343 were novel. These were annotated to 4966 genes. After restricting findings to at least three significant adjacent CpGs, we identified 1276 CpGs annotated to 325 genes. Results were generally consistent when analyses were restricted to term births. Cord blood findings tended not to persist into childhood and adolescence. Pathway analyses identified enrichment for biological processes critical to embryonic development. Follow-up of identified genes showed correlations between gestational age and DNA methylation levels in fetal brain and lung tissue, as well as correlation with expression levels. Conclusions: We identified numerous CpGs differentially methylated in relation to gestational age at birth that appear to reflect fetal developmental processes across tissues. These findings may contribute to understanding mechanisms linking gestational age to health effects.

Published
2020

4. Meta-analysis of epigenome-wide association studies in neonates reveals widespread differential DNA methylation associated with birthweight

Author

Kupers, L. K. (Leanne K.), Monnereau, C. (Claire), Sharp, G. C. (Gemma C.), Yousefi, P. (Paul), Salas, L. A. (Lucas A.), Ghantous, A. (Akram), Page, C. M. (Christian M.), Reese, S. E. (Sarah E.), Wilcox, A. J. (Allen J.), Czamara, D. (Darina), Starling, A. P. (Anne P.), Novoloaca, A. (Alexei), Lent, S. (Samantha), Roy, R. (Ritu), Hoyo, C. (Cathrine), Breton, C. V. (Carrie, V), Allard, C. (Catherine), Just, A. C. (Allan C.), Bakulski, K. M. (Kelly M.), Holloway, J. W. (John W.), Everson, T. M. (Todd M.), Xu, C.-J. (Cheng-Jian), Huang, R.-C. (Rae-Chi), van der Plaat, D. A. (Diana A.), Wielscher, M. (Matthias), Merid, S. K. (Simon Kebede), Ullemar, V. (Vilhelmina), Rezwan, F. I. (Faisal, I), Lahti, J. (Jari), van Dongen, J. (Jenny), Langie, S. A. (Sabine A. S.), Richardson, T. G. (Tom G.), Magnus, M. C. (Maria C.), Nohr, E. A. (Ellen A.), Xu, Z. (Zongli), Duijts, L. (Liesbeth), Zhao, S. (Shanshan), Zhang, W. (Weiming), Plusquin, M. (Michelle), DeMeo, D. L. (Dawn L.), Solomon, O. (Olivia), Heimovaara, J. H. (Joosje H.), Jima, D. D. (Dereje D.), Gao, L. (Lu), Bustamante, M. (Mariona), Perron, P. (Patrice), Wright, R. O. (Robert O.), Hertz-Picciotto, I. (Irva), Zhang, H. (Hongmei), Karagas, M. R. (Margaret R.), Gehring, U. (Ulrike), Marsit, C. J. (Carmen J.), Beilin, L. J. (Lawrence J.), Vonk, J. M. (Judith M.), Jarvelin, M.-R. (Marjo-Riitta), Bergstrom, A. (Anna), Ortqvist, A. K. (Anne K.), Ewart, S. (Susan), Villa, P. M. (Pia M.), Moore, S. E. (Sophie E.), Willemsen, G. (Gonneke), Standaert, A. R. (Arnout R. L.), Haberg, S. E. (Siri E.), Sorensen, T. I. (Thorkild I. A.), Taylor, J. A. (Jack A.), Raikkonen, K. (Katri), Yang, I. V. (Ivana, V), Kechris, K. (Katerina), Nawrot, T. S. (Tim S.), Silver, M. J. (Matt J.), Gong, Y. Y. (Yun Yun), Richiardi, L. (Lorenzo), Kogevinas, M. (Manolis), Litonjua, A. A. (Augusto A.), Eskenazi, B. (Brenda), Huen, K. (Karen), Mbarek, H. (Hamdi), Maguire, R. L. (Rachel L.), Dwyer, T. (Terence), Vrijheid, M. (Martine), Bouchard, L. (Luigi), Baccarelli, A. A. (Andrea A.), Croen, L. A. (Lisa A.), Karmaus, W. (Wilfried), Anderson, D. (Denise), de Vries, M. (Maaike), Sebert, S. (Sylvain), Kere, J. (Juha), Karlsson, R. (Robert), Arshad, S. H. (Syed Hasan), Hamalainen, E. (Esa), Routledge, M. N. (Michael N.), Boomsma, D. I. (Dorret, I), Feinberg, A. P. (Andrew P.), Newschaffer, C. J. (Craig J.), Govarts, E. (Eva), Moisse, M. (Matthieu), Fallin, M. D. (M. Daniele), Melen, E. (Erik), Prentice, A. M. (Andrew M.), Kajantie, E. (Eero), Almqvist, C. (Catarina), Oken, E. (Emily), Dabelea, D. (Dana), Boezen, H. M. (H. Marike), Melton, P. E. (Phillip E.), Wright, R. J. (Rosalind J.), Koppelman, G. H. (Gerard H.), Trevisi, L. (Letizia), Hivert, M.-F. (Marie-France), Sunyer, J. (Jordi), Munthe-Kaas, M. C. (Monica C.), Murphy, S. K. (Susan K.), Corpeleijn, E. (Eva), Wiemels, J. (Joseph), Holland, N. (Nina), Herceg, Z. (Zdenko), Binder, E. B. (Elisabeth B.), Smith, G. D. (George Davey), Jaddoe, V. W. (Vincent W. V.), Lie, R. T. (Rolv T.), Nystad, W. (Wenche), London, S. J. (Stephanie J.), Lawlor, D. A. (Debbie A.), Relton, C. L. (Caroline L.), Snieder, H. (Harold), Felix, J. F. (Janine F.), Kupers, L. K. (Leanne K.), Monnereau, C. (Claire), Sharp, G. C. (Gemma C.), Yousefi, P. (Paul), Salas, L. A. (Lucas A.), Ghantous, A. (Akram), Page, C. M. (Christian M.), Reese, S. E. (Sarah E.), Wilcox, A. J. (Allen J.), Czamara, D. (Darina), Starling, A. P. (Anne P.), Novoloaca, A. (Alexei), Lent, S. (Samantha), Roy, R. (Ritu), Hoyo, C. (Cathrine), Breton, C. V. (Carrie, V), Allard, C. (Catherine), Just, A. C. (Allan C.), Bakulski, K. M. (Kelly M.), Holloway, J. W. (John W.), Everson, T. M. (Todd M.), Xu, C.-J. (Cheng-Jian), Huang, R.-C. (Rae-Chi), van der Plaat, D. A. (Diana A.), Wielscher, M. (Matthias), Merid, S. K. (Simon Kebede), Ullemar, V. (Vilhelmina), Rezwan, F. I. (Faisal, I), Lahti, J. (Jari), van Dongen, J. (Jenny), Langie, S. A. (Sabine A. S.), Richardson, T. G. (Tom G.), Magnus, M. C. (Maria C.), Nohr, E. A. (Ellen A.), Xu, Z. (Zongli), Duijts, L. (Liesbeth), Zhao, S. (Shanshan), Zhang, W. (Weiming), Plusquin, M. (Michelle), DeMeo, D. L. (Dawn L.), Solomon, O. (Olivia), Heimovaara, J. H. (Joosje H.), Jima, D. D. (Dereje D.), Gao, L. (Lu), Bustamante, M. (Mariona), Perron, P. (Patrice), Wright, R. O. (Robert O.), Hertz-Picciotto, I. (Irva), Zhang, H. (Hongmei), Karagas, M. R. (Margaret R.), Gehring, U. (Ulrike), Marsit, C. J. (Carmen J.), Beilin, L. J. (Lawrence J.), Vonk, J. M. (Judith M.), Jarvelin, M.-R. (Marjo-Riitta), Bergstrom, A. (Anna), Ortqvist, A. K. (Anne K.), Ewart, S. (Susan), Villa, P. M. (Pia M.), Moore, S. E. (Sophie E.), Willemsen, G. (Gonneke), Standaert, A. R. (Arnout R. L.), Haberg, S. E. (Siri E.), Sorensen, T. I. (Thorkild I. A.), Taylor, J. A. (Jack A.), Raikkonen, K. (Katri), Yang, I. V. (Ivana, V), Kechris, K. (Katerina), Nawrot, T. S. (Tim S.), Silver, M. J. (Matt J.), Gong, Y. Y. (Yun Yun), Richiardi, L. (Lorenzo), Kogevinas, M. (Manolis), Litonjua, A. A. (Augusto A.), Eskenazi, B. (Brenda), Huen, K. (Karen), Mbarek, H. (Hamdi), Maguire, R. L. (Rachel L.), Dwyer, T. (Terence), Vrijheid, M. (Martine), Bouchard, L. (Luigi), Baccarelli, A. A. (Andrea A.), Croen, L. A. (Lisa A.), Karmaus, W. (Wilfried), Anderson, D. (Denise), de Vries, M. (Maaike), Sebert, S. (Sylvain), Kere, J. (Juha), Karlsson, R. (Robert), Arshad, S. H. (Syed Hasan), Hamalainen, E. (Esa), Routledge, M. N. (Michael N.), Boomsma, D. I. (Dorret, I), Feinberg, A. P. (Andrew P.), Newschaffer, C. J. (Craig J.), Govarts, E. (Eva), Moisse, M. (Matthieu), Fallin, M. D. (M. Daniele), Melen, E. (Erik), Prentice, A. M. (Andrew M.), Kajantie, E. (Eero), Almqvist, C. (Catarina), Oken, E. (Emily), Dabelea, D. (Dana), Boezen, H. M. (H. Marike), Melton, P. E. (Phillip E.), Wright, R. J. (Rosalind J.), Koppelman, G. H. (Gerard H.), Trevisi, L. (Letizia), Hivert, M.-F. (Marie-France), Sunyer, J. (Jordi), Munthe-Kaas, M. C. (Monica C.), Murphy, S. K. (Susan K.), Corpeleijn, E. (Eva), Wiemels, J. (Joseph), Holland, N. (Nina), Herceg, Z. (Zdenko), Binder, E. B. (Elisabeth B.), Smith, G. D. (George Davey), Jaddoe, V. W. (Vincent W. V.), Lie, R. T. (Rolv T.), Nystad, W. (Wenche), London, S. J. (Stephanie J.), Lawlor, D. A. (Debbie A.), Relton, C. L. (Caroline L.), Snieder, H. (Harold), and Felix, J. F. (Janine F.)

Abstract

Birthweight is associated with health outcomes across the life course, DNA methylation may be an underlying mechanism. In this meta-analysis of epigenome-wide association studies of 8,825 neonates from 24 birth cohorts in the Pregnancy And Childhood Epigenetics Consortium, we find that DNA methylation in neonatal blood is associated with birthweight at 914 sites, with a difference in birthweight ranging from −183 to 178 grams per 10% increase in methylation (PBonferroni < 1.06 x 10−7). In additional analyses in 7,278 participants, <1.3% of birthweight-associated differential methylation is also observed in childhood and adolescence, but not adulthood. Birthweight-related CpGs overlap with some Bonferroni-significant CpGs that were previously reported to be related to maternal smoking (55/914, p = 6.12 x 10−74) and BMI in pregnancy (3/914, p = 1.13x10−3), but not with those related to folate levels in pregnancy. Whether the associations that we observe are causal or explained by confounding or fetal growth influencing DNA methylation (i.e. reverse causality) requires further research.

Published
2019

5. Variants in the fetal genome near pro-inflammatory cytokine genes on 2q13 associate with gestational duration

Author

Liu, X. (Xueping), Helenius, D. (Dorte), Skotte, L. (Line), Beaumont, R. N. (Robin N.), Wielscher, M. (Matthias), Geller, F. (Frank), Juodakis, J. (Julius), Mahajan, A. (Anubha), Bradfield, J. P. (Jonathan P.), Lin, F. T. (Frederick Tj), Vogelezang, S. (Suzanne), Bustamante, M. (Mariona), Ahluwalia, T. S. (Tarunveer S.), Pitkanen, N. (Niina), Wang, C. A. (Carol A.), Bacelis, J. (Jonas), Borges, M. C. (Maria C.), Zhang, G. (Ge), Bedell, B. A. (Bruce A.), Rossi, R. M. (Robert M.), Skogstrand, K. (Kristin), Peng, S. (Shouneng), Thompson, W. K. (Wesley K.), Appadurai, V. (Vivek), Lawlor, D. A. (Debbie A.), Kalliala, I. (Ilkka), Power, C. (Christine), McCarthy, M. I. (Mark, I), Boyd, H. A. (Heather A.), Marazita, M. L. (Mary L.), Hakonarson, H. (Hakon), Hayes, M. G. (M. Geoffrey), Scholtens, D. M. (Denise M.), Rivadeneira, F. (Fernando), Jaddoe, V. W. (Vincent W. V.), Vinding, R. K. (Rebecca K.), Bisgaard, H. (Hans), Knight, B. A. (Bridget A.), Pahkala, K. (Katja), Raitakari, O. (Olli), Helgeland, O. (Oyvind), Johansson, S. (Stefan), Njolstad, P. R. (Pal R.), Fadista, J. (Joao), Schork, A. J. (Andrew J.), Nudel, R. (Ron), Miller, D. E. (Daniel E.), Chen, X. (Xiaoting), Weirauch, M. T. (Matthew T.), Mortensen, P. B. (Preben Bo), Borglum, A. D. (Anders D.), Nordentoft, M. (Merete), Mors, O. (Ole), Hao, K. (Ke), Ryckman, K. K. (Kelli K.), Hougaard, D. M. (David M.), Kottyan, L. C. (Leah C.), Pennell, C. E. (Craig E.), Lyytikainen, L.-P. (Leo-Pekka), Bonnelykke, K. (Klaus), Vrijheid, M. (Martine), Felix, J. F. (Janine F.), Lowe, W. L. (William L., Jr.), Grant, S. F. (Struan Fa), Hypponen, E. (Elina), Jacobsson, B. (Bo), Järvelin, M.-R. (Marjo-Riitta), Muglia, L. J. (Louis J.), Murray, J. C. (Jeffrey C.), Freathy, R. M. (Rachel M.), Werge, T. M. (Thomas M.), Melbye, M. (Mads), Buil, A. (Alfonso), Feenstra, B. (Bjarke), Liu, X. (Xueping), Helenius, D. (Dorte), Skotte, L. (Line), Beaumont, R. N. (Robin N.), Wielscher, M. (Matthias), Geller, F. (Frank), Juodakis, J. (Julius), Mahajan, A. (Anubha), Bradfield, J. P. (Jonathan P.), Lin, F. T. (Frederick Tj), Vogelezang, S. (Suzanne), Bustamante, M. (Mariona), Ahluwalia, T. S. (Tarunveer S.), Pitkanen, N. (Niina), Wang, C. A. (Carol A.), Bacelis, J. (Jonas), Borges, M. C. (Maria C.), Zhang, G. (Ge), Bedell, B. A. (Bruce A.), Rossi, R. M. (Robert M.), Skogstrand, K. (Kristin), Peng, S. (Shouneng), Thompson, W. K. (Wesley K.), Appadurai, V. (Vivek), Lawlor, D. A. (Debbie A.), Kalliala, I. (Ilkka), Power, C. (Christine), McCarthy, M. I. (Mark, I), Boyd, H. A. (Heather A.), Marazita, M. L. (Mary L.), Hakonarson, H. (Hakon), Hayes, M. G. (M. Geoffrey), Scholtens, D. M. (Denise M.), Rivadeneira, F. (Fernando), Jaddoe, V. W. (Vincent W. V.), Vinding, R. K. (Rebecca K.), Bisgaard, H. (Hans), Knight, B. A. (Bridget A.), Pahkala, K. (Katja), Raitakari, O. (Olli), Helgeland, O. (Oyvind), Johansson, S. (Stefan), Njolstad, P. R. (Pal R.), Fadista, J. (Joao), Schork, A. J. (Andrew J.), Nudel, R. (Ron), Miller, D. E. (Daniel E.), Chen, X. (Xiaoting), Weirauch, M. T. (Matthew T.), Mortensen, P. B. (Preben Bo), Borglum, A. D. (Anders D.), Nordentoft, M. (Merete), Mors, O. (Ole), Hao, K. (Ke), Ryckman, K. K. (Kelli K.), Hougaard, D. M. (David M.), Kottyan, L. C. (Leah C.), Pennell, C. E. (Craig E.), Lyytikainen, L.-P. (Leo-Pekka), Bonnelykke, K. (Klaus), Vrijheid, M. (Martine), Felix, J. F. (Janine F.), Lowe, W. L. (William L., Jr.), Grant, S. F. (Struan Fa), Hypponen, E. (Elina), Jacobsson, B. (Bo), Järvelin, M.-R. (Marjo-Riitta), Muglia, L. J. (Louis J.), Murray, J. C. (Jeffrey C.), Freathy, R. M. (Rachel M.), Werge, T. M. (Thomas M.), Melbye, M. (Mads), Buil, A. (Alfonso), and Feenstra, B. (Bjarke)

Abstract

The duration of pregnancy is influenced by fetal and maternal genetic and non-genetic factors. Here we report a fetal genome-wide association meta-analysis of gestational duration, and early preterm, preterm, and postterm birth in 84,689 infants. One locus on chromosome 2q13 is associated with gestational duration; the association is replicated in 9,291 additional infants (combined P = 3.96 × 10−14). Analysis of 15,588 mother-child pairs shows that the association is driven by fetal rather than maternal genotype. Functional experiments show that the lead SNP, rs7594852, alters the binding of the HIC1 transcriptional repressor. Genes at the locus include several interleukin 1 family members with roles in pro-inflammatory pathways that are central to the process of parturition. Further understanding of the underlying mechanisms will be of great public health importance, since giving birth either before or after the window of term gestation is associated with increased morbidity and mortality.

Published
2019

6. GWAS on longitudinal growth traits reveals different genetic factors influencing infant, child, and adult BMI

Author

Alves, A. C. (Alexessander Couto), De Silva, N. M. (N. Maneka G.), Karhunen, V. (Ville), Sovio, U. (Ulla), Das, S. (Shikta), Taal, H. R. (H. Rob), Warrington, N. M. (Nicole M.), Lewin, A. M. (Alexandra M.), Kaakinen, M. (Marika), Cousminer, D. L. (Diana L.), Thiering, E. (Elisabeth), Timpson, N. J. (Nicholas J.), Bond, T. A. (Tom A.), Lowry, E. (Estelle), Brown, C. D. (Christopher D.), Estivill, X. (Xavier), Lindi, V. (Virpi), Bradfield, J. P. (Jonathan P.), Geller, F. (Frank), Speed, D. (Doug), Coin, L. J. (Lachlan J. M.), Loh, M. (Marie), Barton, S. J. (Sheila J.), Beilin, L. J. (Lawrence J.), Bisgaard, H. (Hans), Bonnelykke, K. (Klaus), Alili, R. (Rohia), Hatoum, I. J. (Ida J.), Schramm, K. (Katharina), Cartwright, R. (Rufus), Charles, M.-A. (Marie-Aline), Salerno, V. (Vincenzo), Clement, K. (Karine), Claringbould, A. A. (Annique A. J.), van Duijn, C. M. (Cornelia M.), Moltchanova, E. (Elena), Eriksson, J. G. (Johan G.), Elks, C. (Cathy), Feenstra, B. (Bjarke), Flexeder, C. (Claudia), Franks, S. (Stephen), Frayling, T. M. (Timothy M.), Freathy, R. M. (Rachel M.), Elliott, P. (Paul), Widen, E. (Elisabeth), Hakonarson, H. (Hakon), Hattersley, A. T. (Andrew T.), Rodriguez, A. (Alina), Banterle, M. (Marco), Heinrich, J. (Joachim), Heude, B. (Barbara), Holloway, J. W. (John W.), Hofman, A. (Albert), Hypponen, E. (Elina), Inskip, H. (Hazel), Kaplan, L. M. (Lee M.), Hedman, A. K. (Asa K.), Läärä, E. (Esa), Prokisch, H. (Holger), Grallert, H. (Harald), Lakka, T. A. (Timo A.), Lawlor, D. A. (Debbie A.), Melbye, M. (Mads), Ahluwalia, T. S. (Tarunveer S.), Marinelli, M. (Marcella), Millwood, I. Y. (Iona Y.), Palmer, L. J. (Lyle J.), Pennell, C. E. (Craig E.), Perry, J. R. (John R.), Ring, S. M. (Susan M.), Savolainen, M. J. (Markku J.), Rivadeneira, F. (Fernando), Standl, M. (Marie), Sunyer, J. (Jordi), Tiesler, C. M. (Carla M. T.), Uitterlinden, A. G. (Andre G.), Schierding, W. (William), O'Sullivan, J. M. (Justin M.), Prokopenko, I. (Inga), Herzig, K.-H. (Karl-Heinz), Smith, G. D. (George Davey), O'Reilly, P. (Paul), Felix, J. F. (Janine F.), Buxton, J. L. (Jessica L.), Blakemore, A. I. (Alexandra I. F.), Ong, K. K. (Ken K.), Jaddoe, V. W. (Vincent W. V.), Grant, S. F. (Struan F. A.), Sebert, S. (Sylvain), McCarthy, M. I. (Mark I.), Jarvelin, M.-R. (Marjo-Riitta), Alves, A. C. (Alexessander Couto), De Silva, N. M. (N. Maneka G.), Karhunen, V. (Ville), Sovio, U. (Ulla), Das, S. (Shikta), Taal, H. R. (H. Rob), Warrington, N. M. (Nicole M.), Lewin, A. M. (Alexandra M.), Kaakinen, M. (Marika), Cousminer, D. L. (Diana L.), Thiering, E. (Elisabeth), Timpson, N. J. (Nicholas J.), Bond, T. A. (Tom A.), Lowry, E. (Estelle), Brown, C. D. (Christopher D.), Estivill, X. (Xavier), Lindi, V. (Virpi), Bradfield, J. P. (Jonathan P.), Geller, F. (Frank), Speed, D. (Doug), Coin, L. J. (Lachlan J. M.), Loh, M. (Marie), Barton, S. J. (Sheila J.), Beilin, L. J. (Lawrence J.), Bisgaard, H. (Hans), Bonnelykke, K. (Klaus), Alili, R. (Rohia), Hatoum, I. J. (Ida J.), Schramm, K. (Katharina), Cartwright, R. (Rufus), Charles, M.-A. (Marie-Aline), Salerno, V. (Vincenzo), Clement, K. (Karine), Claringbould, A. A. (Annique A. J.), van Duijn, C. M. (Cornelia M.), Moltchanova, E. (Elena), Eriksson, J. G. (Johan G.), Elks, C. (Cathy), Feenstra, B. (Bjarke), Flexeder, C. (Claudia), Franks, S. (Stephen), Frayling, T. M. (Timothy M.), Freathy, R. M. (Rachel M.), Elliott, P. (Paul), Widen, E. (Elisabeth), Hakonarson, H. (Hakon), Hattersley, A. T. (Andrew T.), Rodriguez, A. (Alina), Banterle, M. (Marco), Heinrich, J. (Joachim), Heude, B. (Barbara), Holloway, J. W. (John W.), Hofman, A. (Albert), Hypponen, E. (Elina), Inskip, H. (Hazel), Kaplan, L. M. (Lee M.), Hedman, A. K. (Asa K.), Läärä, E. (Esa), Prokisch, H. (Holger), Grallert, H. (Harald), Lakka, T. A. (Timo A.), Lawlor, D. A. (Debbie A.), Melbye, M. (Mads), Ahluwalia, T. S. (Tarunveer S.), Marinelli, M. (Marcella), Millwood, I. Y. (Iona Y.), Palmer, L. J. (Lyle J.), Pennell, C. E. (Craig E.), Perry, J. R. (John R.), Ring, S. M. (Susan M.), Savolainen, M. J. (Markku J.), Rivadeneira, F. (Fernando), Standl, M. (Marie), Sunyer, J. (Jordi), Tiesler, C. M. (Carla M. T.), Uitterlinden, A. G. (Andre G.), Schierding, W. (William), O'Sullivan, J. M. (Justin M.), Prokopenko, I. (Inga), Herzig, K.-H. (Karl-Heinz), Smith, G. D. (George Davey), O'Reilly, P. (Paul), Felix, J. F. (Janine F.), Buxton, J. L. (Jessica L.), Blakemore, A. I. (Alexandra I. F.), Ong, K. K. (Ken K.), Jaddoe, V. W. (Vincent W. V.), Grant, S. F. (Struan F. A.), Sebert, S. (Sylvain), McCarthy, M. I. (Mark I.), and Jarvelin, M.-R. (Marjo-Riitta)

Abstract

Early childhood growth patterns are associated with adult health, yet the genetic factors and the developmental stages involved are not fully understood. Here, we combine genome-wide association studies with modeling of longitudinal growth traits to study the genetics of infant and child growth, followed by functional, pathway, genetic correlation, risk score, and colocalization analyses to determine how developmental timings, molecular pathways, and genetic determinants of these traits overlap with those of adult health. We found a robust overlap between the genetics of child and adult body mass index (BMI), with variants associated with adult BMI acting as early as 4 to 6 years old. However, we demonstrated a completely distinct genetic makeup for peak BMI during infancy, influenced by variation at the LEPR/LEPROT locus. These findings suggest that different genetic factors control infant and child BMI. In light of the obesity epidemic, these findings are important to inform the timing and targets of prevention strategies.

Published
2019

7. Metabolic characterization of menopause:cross-sectional and longitudinal evidence

Author

Wang, Q. (Qin), Ferreira, D. L. (Diana L. Santos), Nelson, S. M. (Scott M.), Sattar, N. (Naveed), Ala-Korpela, M. (Mika), and Lawlor, D. A. (Debbie A.)

Subjects
Circulating biomarkers, Cross-sectional, Reproductive status, Longitudinal, Post-menopausal, Metabolomics, sense organs, Metabolic profile, Menopause, skin and connective tissue diseases, Chronological age
Abstract

Background: Women who experience menopause are at higher cardiometabolic risk and often display adverse changes in metabolic biomarkers compared with pre-menopausal women. It remains elusive whether the changes in cardiometabolic biomarkers during the menopausal transition are due to ovarian aging or chronological aging. Well-conducted longitudinal studies are required to determine this. The aim of this study was to explore the crosssectional and longitudinal associations of reproductive status, defined according to the 2012 Stages of Reproductive Aging Workshop criteria, with 74 metabolic biomarkers, and establish whether any associations are independent of age-related changes. Methods: We determined cross-sectional associations of reproductive status with metabolic profiling in 3,312 UK midlife women. In a subgroup of 1,492 women who had repeat assessments after 2.5 years, we assessed how the change in reproductive status was associated with the changes in metabolic biomarkers. Metabolic profiles were measured by high-throughput quantitative nuclear magnetic resonance metabolomics. In longitudinal analyses, we compared the change in metabolic biomarkers for each reproductive-status category change to that of the reference of being pre-menopausal at both time points. As all women aged by a similar amount during follow-up, these analyses contribute to distinguishing age-related changes from those related to change in reproductive status. Results: Consistent cross-sectional and longitudinal associations of menopause with a wide range of metabolic biomarkers were observed, suggesting the transition to menopause induces multiple metabolic changes independent of chronological aging. The metabolic changes included increased concentrations of very small very low-density lipoproteins, intermediate-density lipoproteins, low-density lipoproteins (LDLs), remnant, and LDL cholesterol, and reduced LDL particle size, all toward an atherogenic lipoprotein profile. Increased inflammation was suggested via an inflammatory biomarker, glycoprotein acetyls, but not via C-reactive protein. Also, levels of glutamine and albumin increased during the transition. Most of these metabolic changes seen at the time of becoming post-menopausal remained or became slightly stronger during the post-menopausal years. Conclusions: The transition to post-menopause has effects on multiple circulating metabolic biomarkers, over and above the underlying age trajectory. The adverse changes in multiple apolipoprotein-B-containing lipoprotein subclasses and increased inflammation may underlie women’s increased cardiometabolic risk in their post-menopausal years.

Published
2018

8. Metabolomic consequences of genetic inhibition of PCSK9 compared with statin treatment

Author

Sliz, E. (Eeva), Kettunen, J. (Johannes), Holmes, M. V. (Michael V.), Williams, C. O. (Clare Oliver), Boachie, C. (Charles), Wang, Q. (Qin), Maennikkoe, M. (Minna), Sebert, S. (Sylvain), Walters, R. (Robin), Lin, K. (Kuang), Millwood, I. Y. (Iona Y.), Clarke, R. (Robert), Li, L. (Liming), Rankin, N. (Naomi), Welsh, P. (Paul), Delles, C. (Christian), Jukema, J. W. (J. Wouter), Trompet, S. (Stella), Ford, I. (Ian), Perola, M. (Markus), Salomaa, V. (Veikko), Jaervelin, M.-R. (Marjo-Riitta), Chen, Z. (Zhengming), Lawlor, D. A. (Debbie A.), Ala-Korpela, M. (Mika), Danesh, J. (John), Davey Smith, G. (George), Sattar, N. (Naveed), Butterworth, A. (Adam), Wuertz, P. (Peter), Sliz, E. (Eeva), Kettunen, J. (Johannes), Holmes, M. V. (Michael V.), Williams, C. O. (Clare Oliver), Boachie, C. (Charles), Wang, Q. (Qin), Maennikkoe, M. (Minna), Sebert, S. (Sylvain), Walters, R. (Robin), Lin, K. (Kuang), Millwood, I. Y. (Iona Y.), Clarke, R. (Robert), Li, L. (Liming), Rankin, N. (Naomi), Welsh, P. (Paul), Delles, C. (Christian), Jukema, J. W. (J. Wouter), Trompet, S. (Stella), Ford, I. (Ian), Perola, M. (Markus), Salomaa, V. (Veikko), Jaervelin, M.-R. (Marjo-Riitta), Chen, Z. (Zhengming), Lawlor, D. A. (Debbie A.), Ala-Korpela, M. (Mika), Danesh, J. (John), Davey Smith, G. (George), Sattar, N. (Naveed), Butterworth, A. (Adam), and Wuertz, P. (Peter)

Abstract

Background: Both statins and proprotein convertase subtilisin/kexin type 9 (PCSK9) inhibitors lower blood low-density lipoprotein cholesterol levels to reduce risk of cardiovascular events. To assess potential differences between metabolic effects of these 2 lipid-lowering therapies, we performed detailed lipid and metabolite profiling of a large randomized statin trial and compared the results with the effects of genetic inhibition of PCSK9, acting as a naturally occurring trial. Methods: Two hundred twenty-eight circulating metabolic measures were quantified by nuclear magnetic resonance spectroscopy, including lipoprotein subclass concentrations and their lipid composition, fatty acids, and amino acids, for 5359 individuals (2659 on treatment) in the PROSPER (Prospective Study of Pravastatin in the Elderly at Risk) trial at 6 months postrandomization. The corresponding metabolic measures were analyzed in 8 population cohorts (N=72 185) using PCSK9 rs11591147 as an unconfounded proxy to mimic the therapeutic effects of PCSK9 inhibitors. Results: Scaled to an equivalent lowering of low-density lipoprotein cholesterol, the effects of genetic inhibition of PCSK9 on 228 metabolic markers were generally consistent with those of statin therapy (R²=0.88). Alterations in lipoprotein lipid composition and fatty acid distribution were similar. However, discrepancies were observed for very-low-density lipoprotein lipid measures. For instance, genetic inhibition of PCSK9 had weaker effects on lowering of very-low-density lipoprotein cholesterol compared with statin therapy (54% versus 77% reduction, relative to the lowering effect on low-density lipoprotein cholesterol; P=2×10⁻⁷ for heterogeneity). Genetic inhibition of PCSK9 showed no significant effects on amino acids, ketones, or a marker of inflammation (GlycA), whereas statin treatment weakly lowered GlycA levels. Conclusions: Genetic inhibition of PCSK9 had similar metabolic effects to statin therapy on detaile

Published
2018

9. Genome-wide association study of offspring birth weight in 86 577 women identifies five novel loci and highlights maternal genetic effects that are independent of fetal genetics

Author

Beaumont, R. N. (Robin N.), Warrington, N. M. (Nicole M.), Cavadino, A. (Alana), Tyrrell, J. (Jessica), Nodzenski, M. (Michael), Horikoshi, M. (Momoko), Geller, F. (Frank), Myhre, R. (Ronny), Richmond, R. C. (Rebecca C.), Paternoster, L. (Lavinia), Bradfield, J. P. (Jonathan P.), Kreiner-Moller, E. (Eskil), Huikari, V. (Ville), Metrustry, S. (Sarah), Lunetta, K. L. (Kathryn L.), Painter, J. N. (Jodie N.), Hottenga, J.-J. (Jouke-Jan), Allard, C. (Catherine), Barton, S. J. (Sheila J.), Espinosa, A. (Ana), Marsh, J. A. (Julie A.), Potter, C. (Catherine), Zhang, G. (Ge), Ang, W. (Wei), Berry, D. J. (Diane J.), Bouchard, L. (Luigi), Das, S. (Shikta), Hakonarson, H. (Hakon), Heikkinen, J. (Jani), Helgeland, O. (Oyvind), Hocher, B. (Berthold), Hofman, A. (Albert), Inskip, H. M. (Hazel M.), Jones, S. E. (Samuel E.), Kogevinas, M. (Manolis), Lind, P. A. (Penelope A.), Marullo, L. (Letizia), Medland, S. E. (Sarah E.), Murray, A. (Anna), Murray, J. C. (Jeffrey C.), Njolstad, P. R. (Pal R.), Nohr, E. A. (Ellen A.), Reichetzeder, C. (Christoph), Ring, S. M. (Susan M.), Ruth, K. S. (Katherine S.), Santa-Marina, L. (Loreto), Scholtens, D. M. (Denise M.), Sebert, S. (Sylvain), Sengpiel, V. (Verena), Tuke, M. A. (Marcus A.), Vaudel, M. (Marc), Weedon, M. N. (Michael N.), Willemsen, G. (Gonneke), Wood, A. R. (Andrew R.), Yaghootkar, H. (Hanieh), Muglia, L. J. (Louis J.), Bartels, M. (Meike), Relton, C. L. (Caroline L.), Pennell, C. E. (Craig E.), Chatzi, L. (Leda), Estivill, X. (Xavier), Holloway, J. W. (John W.), Boomsma, D. I. (Dorret I.), Montgomery, G. W. (Grant W.), Murabito, J. M. (Joanne M.), Spector, T. D. (Tim D.), Power, C. (Christine), Järvelin, M.-R. (Marjo-Ritta), Bisgaard, H. (Hans), Grant, S. F. (Struan F. A.), Sorensen, T. I. (Thorkild I. A.), Jaddoe, V. W. (Vincent W.), Jacobsson, B. (Bo), Melbye, M. (Mads), McCarthy, M. I. (Mark I.), Hattersley, A. T. (Andrew T.), Hayes, M. G. (M. Geoffrey), Frayling, T. M. (Timothy M.), Hivert, M.-F. (Marie-France), Felix, J. F. (Janine F.), Hypponen, E. (Elina), Lowe, W. L. (William L., Jr.), Evans, D. M. (David M.), Lawlor, D. A. (Debbie A.), Feenstra, B. (Bjarke), Freathy, R. M. (Rachel M.), Beaumont, R. N. (Robin N.), Warrington, N. M. (Nicole M.), Cavadino, A. (Alana), Tyrrell, J. (Jessica), Nodzenski, M. (Michael), Horikoshi, M. (Momoko), Geller, F. (Frank), Myhre, R. (Ronny), Richmond, R. C. (Rebecca C.), Paternoster, L. (Lavinia), Bradfield, J. P. (Jonathan P.), Kreiner-Moller, E. (Eskil), Huikari, V. (Ville), Metrustry, S. (Sarah), Lunetta, K. L. (Kathryn L.), Painter, J. N. (Jodie N.), Hottenga, J.-J. (Jouke-Jan), Allard, C. (Catherine), Barton, S. J. (Sheila J.), Espinosa, A. (Ana), Marsh, J. A. (Julie A.), Potter, C. (Catherine), Zhang, G. (Ge), Ang, W. (Wei), Berry, D. J. (Diane J.), Bouchard, L. (Luigi), Das, S. (Shikta), Hakonarson, H. (Hakon), Heikkinen, J. (Jani), Helgeland, O. (Oyvind), Hocher, B. (Berthold), Hofman, A. (Albert), Inskip, H. M. (Hazel M.), Jones, S. E. (Samuel E.), Kogevinas, M. (Manolis), Lind, P. A. (Penelope A.), Marullo, L. (Letizia), Medland, S. E. (Sarah E.), Murray, A. (Anna), Murray, J. C. (Jeffrey C.), Njolstad, P. R. (Pal R.), Nohr, E. A. (Ellen A.), Reichetzeder, C. (Christoph), Ring, S. M. (Susan M.), Ruth, K. S. (Katherine S.), Santa-Marina, L. (Loreto), Scholtens, D. M. (Denise M.), Sebert, S. (Sylvain), Sengpiel, V. (Verena), Tuke, M. A. (Marcus A.), Vaudel, M. (Marc), Weedon, M. N. (Michael N.), Willemsen, G. (Gonneke), Wood, A. R. (Andrew R.), Yaghootkar, H. (Hanieh), Muglia, L. J. (Louis J.), Bartels, M. (Meike), Relton, C. L. (Caroline L.), Pennell, C. E. (Craig E.), Chatzi, L. (Leda), Estivill, X. (Xavier), Holloway, J. W. (John W.), Boomsma, D. I. (Dorret I.), Montgomery, G. W. (Grant W.), Murabito, J. M. (Joanne M.), Spector, T. D. (Tim D.), Power, C. (Christine), Järvelin, M.-R. (Marjo-Ritta), Bisgaard, H. (Hans), Grant, S. F. (Struan F. A.), Sorensen, T. I. (Thorkild I. A.), Jaddoe, V. W. (Vincent W.), Jacobsson, B. (Bo), Melbye, M. (Mads), McCarthy, M. I. (Mark I.), Hattersley, A. T. (Andrew T.), Hayes, M. G. (M. Geoffrey), Frayling, T. M. (Timothy M.), Hivert, M.-F. (Marie-France), Felix, J. F. (Janine F.), Hypponen, E. (Elina), Lowe, W. L. (William L., Jr.), Evans, D. M. (David M.), Lawlor, D. A. (Debbie A.), Feenstra, B. (Bjarke), and Freathy, R. M. (Rachel M.)

Abstract

Genome-wide association studies of birth weight have focused on fetal genetics, whereas relatively little is known about the role of maternal genetic variation. We aimed to identify maternal genetic variants associated with birth weight that could highlight potentially relevant maternal determinants of fetal growth. We meta-analysed data on up to 8.7 million SNPs in up to 86 577 women of European descent from the Early Growth Genetics (EGG) Consortium and the UK Biobank. We used structural equation modelling (SEM) and analyses of mother–child pairs to quantify the separate maternal and fetal genetic effects. Maternal SNPs at 10 loci (MTNR1B, HMGA2, SH2B3, KCNAB1, L3MBTL3, GCK, EBF1, TCF7L2, ACTL9, CYP3A7) were associated with offspring birth weight at P < 5 × 10−8. In SEM analyses, at least 7 of the 10 associations were consistent with effects of the maternal genotype acting via the intrauterine environment, rather than via effects of shared alleles with the fetus. Variants, or correlated proxies, at many of the loci had been previously associated with adult traits, including fasting glucose (MTNR1B, GCK and TCF7L2) and sex hormone levels (CYP3A7), and one (EBF1) with gestational duration. The identified associations indicate that genetic effects on maternal glucose, cytochrome P450 activity and gestational duration, and potentially on maternal blood pressure and immune function, are relevant for fetal growth. Further characterization of these associations in mechanistic and causal analyses will enhance understanding of the potentially modifiable maternal determinants of fetal growth, with the goal of reducing the morbidity and mortality associated with low and high birth weights.

Published
2018

10. Quantitative serum nuclear magnetic resonance metabolomics in large-scale epidemiology:a primer on -omic technologies

Author

Würtz, P. (Peter), Kangas, A. J. (Antti J.), Soininen, P. (Pasi), Lawlor, D. A. (Debbie A.), Smith, G. D. (George Davey), and Ala-Korpela, M. (Mika)

Subjects
amino acids, nuclear magnetic resonance, Mendelian randomization, biomarkers, drug development, fatty acids, metabolomics, serum
Abstract

Detailed metabolic profiling in large-scale epidemiologic studies has uncovered novel biomarkers for cardiometabolic diseases and clarified the molecular associations of established risk factors. A quantitative metabolomics platform based on nuclear magnetic resonance spectroscopy has found widespread use, already profiling over 400,000 blood samples. Over 200 metabolic measures are quantified per sample; in addition to many biomarkers routinely used in epidemiology, the method simultaneously provides fine-grained lipoprotein subclass profiling and quantification of circulating fatty acids, amino acids, gluconeogenesis-related metabolites, and many other molecules from multiple metabolic pathways. Here we focus on applications of magnetic resonance metabolomics for quantifying circulating biomarkers in large-scale epidemiology. We highlight the molecular characterization of risk factors, use of Mendelian randomization, and the key issues of study design and analyses of metabolic profiling for epidemiology. We also detail how integration of metabolic profiling data with genetics can enhance drug development. We discuss why quantitative metabolic profiling is becoming widespread in epidemiology and biobanking. Although large-scale applications of metabolic profiling are still novel, it seems likely that comprehensive biomarker data will contribute to etiologic understanding of various diseases and abilities to predict disease risks, with the potential to translate into multiple clinical settings.

Published
2017

11. Association of pre-pregnancy body mass index with offspring metabolic profile:analyses of 3 European prospective birth cohorts

Author

Santos Ferreira, D. L. (Diana L.), Williams, D. M. (Dylan M.), Kangas, A. J. (Antti J.), Soininen, P. (Pasi), Ala-Korpela, M. (Mika), Smith, G. D. (George Davey), Järvelin, M.-R. (Marjo-Riitta), Lawlor, D. A. (Debbie A.), Santos Ferreira, D. L. (Diana L.), Williams, D. M. (Dylan M.), Kangas, A. J. (Antti J.), Soininen, P. (Pasi), Ala-Korpela, M. (Mika), Smith, G. D. (George Davey), Järvelin, M.-R. (Marjo-Riitta), and Lawlor, D. A. (Debbie A.)

Abstract

Background: A high proportion of women start pregnancy overweight or obese. According to the developmental overnutrition hypothesis, this could lead offspring to have metabolic disruption throughout their lives and thus perpetuate the obesity epidemic across generations. Concerns about this hypothesis are influencing antenatal care. However, it is unknown whether maternal pregnancy adiposity is associated with long-term risk of adverse metabolic profiles in offspring, and if so, whether this association is causal, via intrauterine mechanisms, or explained by shared familial (genetic, lifestyle, socioeconomic) characteristics. We aimed to determine if associations between maternal body mass index (BMI) and offspring systemic cardio-metabolic profile are causal, via intrauterine mechanisms, or due to shared familial factors. Methods and findings: We used 1- and 2-stage individual participant data (IPD) meta-analysis, and a negative-control (paternal BMI) to examine the association between maternal pre-pregnancy BMI and offspring serum metabolome from 3 European birth cohorts (offspring age at blood collection: 16, 17, and 31 years). Circulating metabolic traits were quantified by high-throughput nuclear magnetic resonance metabolomics. Results from 1-stage IPD meta-analysis (N = 5327 to 5377 mother-father-offspring trios) showed that increasing maternal and paternal BMI was associated with an adverse cardio-metabolic profile in offspring. We observed strong positive associations with very-low-density lipoprotein (VLDL)-lipoproteins, VLDL-cholesterol (C), VLDL-triglycerides, VLDL-diameter, branched/aromatic amino acids, glycoprotein acetyls, and triglycerides, and strong negative associations with high-density lipoprotein (HDL), HDL-diameter, HDL-C, HDL₂-C, and HDL₃-C (all P < 0.003). Slightly stronger magnitudes of associations were present for maternal compared with paternal BMI across these associations; however, there was no strong statistical evide

Published
2017

12. Genetic evidence for causal relationships between maternal obesity-related traits and birth weight

Author

Tyrrell, J. (Jessica), Richmond, R. C. (Rebecca C.), Palmer, T. M. (Tom M.), Feenstra, B. (Bjarke), Rangarajan, J. (Janani), Metrustry, S. (Sarah), Cavadino, A. (Alana), Paternoster, L. (Lavinia), Armstrong, L. L. (Loren L.), De Silva, N. M. (N. Maneka G.), Wood, A. R. (Andrew R.), Horikoshi, M. (Momoko), Geller, F. (Frank), Myhre, R. (Ronny), Bradfield, J. P. (Jonathan P.), Kreiner-Moller, E. (Eskil), Huikari, V. (Ville), Painter, J. N. (Jodie N.), Hottenga, J.-J. (Jouke-Jan), Allard, C. (Catherine), Berry, D. J. (Diane J.), Bouchard, L. (Luigi), Das, S. (Shikta), Evans, D. M. (David M.), Hakonarson, H. (Hakon), Hayes, M. G. (M. Geoffrey), Heikkinen, J. (Jani), Hofman, A. (Albert), Knight, B. (Bridget), Lind, P. A. (Penelope A.), McCarthy, M. I. (Mark I.), McMahon, G. (George), Medland, S. E. (Sarah E.), Melbye, M. (Mads), Morris, A. P. (Andrew P.), Nodzenski, M. (Michael), Reichetzeder, C. (Christoph), Ring, S. M. (Susan M.), Sebert, S. (Sylvain), Sengpiel, V. (Verena), Sorensen, T. I. (Thorkild I. A.), Willemsen, G. (Gonneke), de Geus, E. J. (Eco J. C.), Martin, N. G. (Nicholas G.), Spector, T. D. (Tim D.), Power, C. (Christine), Järvelin, M.-R. (Marjo-Riitta), Bisgaard, H. (Hans), Grant, S. F. (Struan F. A.), Nohr, E. A. (Ellen A.), Jaddoe, V. W. (Vincent W.), Jacobsson, B. (Bo), Murray, J. C. (Jeffrey C.), Hocher, B. (Berthold), Hattersley, A. T. (Andrew T.), Scholtens, D. M. (Denise M.), Smith, G. D. (George Davey), Hivert, M.-F. (Marie-France), Felix, J. F. (Janine F.), Hypponen, E. (Elina), Lowe, W. L. (William L., Jr.), Frayling, T. M. (Timothy M.), Lawlor, D. A. (Debbie A.), Freathy, R. M. (Rachel M.), Tyrrell, J. (Jessica), Richmond, R. C. (Rebecca C.), Palmer, T. M. (Tom M.), Feenstra, B. (Bjarke), Rangarajan, J. (Janani), Metrustry, S. (Sarah), Cavadino, A. (Alana), Paternoster, L. (Lavinia), Armstrong, L. L. (Loren L.), De Silva, N. M. (N. Maneka G.), Wood, A. R. (Andrew R.), Horikoshi, M. (Momoko), Geller, F. (Frank), Myhre, R. (Ronny), Bradfield, J. P. (Jonathan P.), Kreiner-Moller, E. (Eskil), Huikari, V. (Ville), Painter, J. N. (Jodie N.), Hottenga, J.-J. (Jouke-Jan), Allard, C. (Catherine), Berry, D. J. (Diane J.), Bouchard, L. (Luigi), Das, S. (Shikta), Evans, D. M. (David M.), Hakonarson, H. (Hakon), Hayes, M. G. (M. Geoffrey), Heikkinen, J. (Jani), Hofman, A. (Albert), Knight, B. (Bridget), Lind, P. A. (Penelope A.), McCarthy, M. I. (Mark I.), McMahon, G. (George), Medland, S. E. (Sarah E.), Melbye, M. (Mads), Morris, A. P. (Andrew P.), Nodzenski, M. (Michael), Reichetzeder, C. (Christoph), Ring, S. M. (Susan M.), Sebert, S. (Sylvain), Sengpiel, V. (Verena), Sorensen, T. I. (Thorkild I. A.), Willemsen, G. (Gonneke), de Geus, E. J. (Eco J. C.), Martin, N. G. (Nicholas G.), Spector, T. D. (Tim D.), Power, C. (Christine), Järvelin, M.-R. (Marjo-Riitta), Bisgaard, H. (Hans), Grant, S. F. (Struan F. A.), Nohr, E. A. (Ellen A.), Jaddoe, V. W. (Vincent W.), Jacobsson, B. (Bo), Murray, J. C. (Jeffrey C.), Hocher, B. (Berthold), Hattersley, A. T. (Andrew T.), Scholtens, D. M. (Denise M.), Smith, G. D. (George Davey), Hivert, M.-F. (Marie-France), Felix, J. F. (Janine F.), Hypponen, E. (Elina), Lowe, W. L. (William L., Jr.), Frayling, T. M. (Timothy M.), Lawlor, D. A. (Debbie A.), and Freathy, R. M. (Rachel M.)

Abstract

Importance: Neonates born to overweight or obese women are larger and at higher risk of birth complications. Many maternal obesity-related traits are observationally associated with birth weight, but the causal nature of these associations is uncertain. Objective: To test for genetic evidence of causal associations of maternal body mass index (BMI) and related traits with birth weight. Design, Setting, and Participants: Mendelian randomization to test whether maternal BMI and obesity-related traits are potentially causally related to offspring birth weight. Data from 30 487 women in 18 studies were analyzed. Participants were of European ancestry from population- or community-based studies in Europe, North America, or Australia and were part of the Early Growth Genetics Consortium. Live, term, singleton offspring born between 1929 and 2013 were included. Exposures: Genetic scores for BMI, fasting glucose level, type 2 diabetes, systolic blood pressure (SBP), triglyceride level, high-density lipoprotein cholesterol (HDL-C) level, vitamin D status, and adiponectin level. Main Outcome and Measure: Offspring birth weight from 18 studies. Results: Among the 30 487 newborns the mean birth weight in the various cohorts ranged from 3325 g to 3679 g. The maternal genetic score for BMI was associated with a 2-g (95% CI, 0 to 3 g) higher offspring birth weight per maternal BMI-raising allele (P = .008). The maternal genetic scores for fasting glucose and SBP were also associated with birth weight with effect sizes of 8 g (95% CI, 6 to 10 g) per glucose-raising allele (P = 7 × 10−14) and −4 g (95% CI, −6 to −2g) per SBP-raising allele (P = 1×10−5), respectively. A 1-SD ( ≈ 4 points) genetically higher maternal BMI was associated with a 55-g higher offspring birth weight (95% CI, 17 to 93 g). A 1-SD ( ≈ 7.2 mg/dL) genetically higher maternal fasting glucose concentration was associated with 114-g higher offspring birth weight (95% CI, 80 to 147 g). However, a 1-SD ( ≈ 1

Published
2016

13. Metabolic profiling of pregnancy:cross-sectional and longitudinal evidence

Author

Wang, Q. (Qin), Würtz, P. (Peter), Auro, K. (Kirsi), Mäkinen, V.-P. (Ville-Petteri), Kangas, A. J. (Antti J.), Soininen, P. (Pasi), Tiainen, M. (Mika), Tynkkynen, T. (Tuulia), Jokelainen, J. (Jari), Santalahti, K. (Kristiina), Salmi, M. (Marko), Blankenberg, S. (Stefan), Zeller, T. (Tanja), Viikari, J. (Jorma), Kähönen, M. (Mika), Lehtimäki, T. (Terho), Salomaa, V. (Veikko), Perola, M. (Markus), Jalkanen, S. (Sirpa), Järvelin, M.-R. (Marjo-Riitta), Raitakari, O. T. (Olli T.), Kettunen, J. (Johannes), Lawlor, D. A. (Debbie A.), Ala-Korpela, M. (Mika), Wang, Q. (Qin), Würtz, P. (Peter), Auro, K. (Kirsi), Mäkinen, V.-P. (Ville-Petteri), Kangas, A. J. (Antti J.), Soininen, P. (Pasi), Tiainen, M. (Mika), Tynkkynen, T. (Tuulia), Jokelainen, J. (Jari), Santalahti, K. (Kristiina), Salmi, M. (Marko), Blankenberg, S. (Stefan), Zeller, T. (Tanja), Viikari, J. (Jorma), Kähönen, M. (Mika), Lehtimäki, T. (Terho), Salomaa, V. (Veikko), Perola, M. (Markus), Jalkanen, S. (Sirpa), Järvelin, M.-R. (Marjo-Riitta), Raitakari, O. T. (Olli T.), Kettunen, J. (Johannes), Lawlor, D. A. (Debbie A.), and Ala-Korpela, M. (Mika)

Abstract

Background: Pregnancy triggers well-known alterations in maternal glucose and lipid balance but its overall effects on systemic metabolism remain incompletely understood. Methods: Detailed molecular profiles (87 metabolic measures and 37 cytokines) were measured for up to 4260 women (24–49 years, 322 pregnant) from three population-based cohorts in Finland. Circulating molecular concentrations in pregnant women were compared to those in non-pregnant women. Metabolic profiles were also reassessed for 583 women 6 years later to uncover the longitudinal metabolic changes in response to change in the pregnancy status. Results: Compared to non-pregnant women, all lipoprotein subclasses and lipids were markedly increased in pregnant women. The most pronounced differences were observed for the intermediate-density, low-density and high-density lipoprotein triglyceride concentrations. Large differences were also seen for many fatty acids and amino acids. Pregnant women also had higher concentrations of low-grade inflammatory marker glycoprotein acetyls, higher concentrations of interleukin-18 and lower concentrations of interleukin-12p70. The changes in metabolic concentrations for women who were not pregnant at baseline but pregnant 6 years later (or vice versa) matched (or were mirror-images of) the cross-sectional association pattern. Cross-sectional results were consistent across the three cohorts and similar longitudinal changes were seen for 653 women in 4-year and 497 women in 10-year follow-up. For multiple metabolic measures, the changes increased in magnitude across the three trimesters. Conclusions: Pregnancy initiates substantial metabolic and inflammatory changes in the mothers. Comprehensive characterisation of normal pregnancy is important for gaining understanding of the key nutrients for fetal growth and development. These findings also provide a valuable molecular reference in relation to studies of adverse pregnancy outcomes.

Published
2016

14. Metabolic signatures of birthweight in 18 288 adolescents and adults

Author

Würtz, P. (Peter), Wang, Q. (Qin), Niironen, M. (Marjo), Tynkkynen, T. (Tuulia), Tiainen, M. (Mika), Drenos, F. (Fotios), Kangas, A. J. (Antti J.), Soininen, P. (Pasi), Skilton, M. R. (Michael R.), Heikkilä, K. (Kauko), Pouta, A. (Anneli), Kähönen, M. (Mika), Lehtimäki, T. (Terho), Rose, R. J. (Richard J.), Kajantie, E. (Eero), Perola, M. (Markus), Kaprio, J. (Jaakko), Eriksson, J. G. (Johan G.), Raitakari, O. T. (Olli T.), Lawlor, D. A. (Debbie A.), Smith, G. D. (George Davey), Järvelin, M.-R. (Marjo-Riitta), Ala-Korpela, M. (Mika), Auro, K. (Kirsi), Würtz, P. (Peter), Wang, Q. (Qin), Niironen, M. (Marjo), Tynkkynen, T. (Tuulia), Tiainen, M. (Mika), Drenos, F. (Fotios), Kangas, A. J. (Antti J.), Soininen, P. (Pasi), Skilton, M. R. (Michael R.), Heikkilä, K. (Kauko), Pouta, A. (Anneli), Kähönen, M. (Mika), Lehtimäki, T. (Terho), Rose, R. J. (Richard J.), Kajantie, E. (Eero), Perola, M. (Markus), Kaprio, J. (Jaakko), Eriksson, J. G. (Johan G.), Raitakari, O. T. (Olli T.), Lawlor, D. A. (Debbie A.), Smith, G. D. (George Davey), Järvelin, M.-R. (Marjo-Riitta), Ala-Korpela, M. (Mika), and Auro, K. (Kirsi)

Abstract

Background: Lower birthweight is associated with increased susceptibility to cardiometabolic diseases in adulthood, but the underlying molecular pathways are incompletely understood. We examined associations of birthweight with a comprehensive metabolic profile measured in adolescents and adults. Methods: High-throughput nuclear magnetic resonance metabolomics and biochemical assays were used to quantify 87 circulating metabolic measures in seven cohorts from Finland and the UK, comprising altogether 18 288 individuals (mean age 26 years, range 15–75). Metabolic associations with birthweight were assessed by linear regression models adjusted for sex, gestational age and age at blood sampling. The metabolic associations with birthweight were compared with the corresponding associations with adult body mass index (BMI). Results: Lower birthweight adjusted for gestational age was adversely associated with cardiometabolic biomarkers, including lipoprotein subclasses, fatty acids, amino acids and markers of inflammation and impaired liver function (P < 0.0015 for 46 measures). Associations were consistent across cohorts with different ages at metabolic profiling, but the magnitudes were weak. The pattern of metabolic deviations associated with lower birthweight resembled the metabolic signature of higher adult BMI (R2 = 0.77) assessed at the same time as the metabolic profiling. The resemblance indicated that 1 kg lower birthweight is associated with similar metabolic aberrations as caused by 0.92 units higher BMI in adulthood. Conclusions: Lower birthweight adjusted for gestational age is associated with adverse biomarker aberrations across multiple metabolic pathways. Coherent metabolic signatures between lower birthweight and higher adult adiposity suggest that shared molecular pathways may potentially underpin the metabolic deviations. However, the magnitudes of metabolic associations with birthweight are modest in comparison to the effects of adiposity

Published
2016

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